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This study aims to investigate the relationship between feminine gender identity and leadership intention. Based on the theory of planned behavior and social role theory, the indirect relationship between feminine gender identity and leadership intention was analyzed through affective motivation to lead and perceived leadership self-efficacy. In addition, drawing on the person–environment fit theory, feminine gender identity was examined as a moderator of the relationship between cooperative organizational culture and leadership intention.

A cross-sectional survey was administered among a sample of 183 full-time employees.

Results demonstrated that controlling for sex, perceived leadership self-efficacy mediated the relationship between feminine gender role identity and leadership intention. In addition, feminine gender role identity acted as a moderator in strengthening the relationship between cooperative organizational culture and leadership intention such that highly feminine individuals in high cooperative organizational cultures showed higher intentions to become leaders than did individuals with less feminine identities.

In research on leadership intentions, it will be important to measure both sex and gender, as gender identity explains variance in important outcomes over and above sex. In addition, beginning to include organizational characteristics (such as perception of culture) in this stream of research is important.

Organizations wishing to promote more feminine individuals to leadership roles should examine their organizational culture to determine if it is cooperative, as this type of culture allows these individuals to be more intent on seeking leadership roles.

This research adds up to the literature by looking at an organizational factor, culture, and analyzing its role in increasing leadership intention in highly feminine individuals. In addition, by studying gender while controlling for sex, this paper suggests that regardless of sex (being a female or a male), feminine individuals will benefit from a cooperative environment. This includes any individuals (females and males) that identify more with communal behaviors.

Food waste is a severe problem affecting the supply chain due to its significant adverse social and environmental effects. Even if the topic is hotly debated in the literature, there is a lack of research about the success factors influencing food waste prevention initiatives retailers undertake.

The research analyzes how several variables (i.e. product-related variables and technology-enabling variables) might impact the success of the sales of products close to the expiration date that is sold at a discounted price. Data from 390.000 products sold at a discounted price in 2020 and 2021 by a large Italian food retailer were examined with a regression analysis.

The results highlight that both product-related and technology-enabling variables influence the success of food prevention initiatives aimed at selling products close to the expiration date at a discounted price. In particular, the authors stress the importance of digital technologies in supporting food waste prevention initiatives.

The study offers several practical implications for managers in structuring a waste prevention initiative. The introduction of digital technologies, the monitoring of specific variables or the ability to find synergies with other food waste prevention initiatives are discussed to support retailers in reducing food losses.

The paper is focused on the retailer perspective, which is barely investigated due to the difficulty in finding data.

The purpose of this study is to examine the underexplored link between entrepreneurship education (EE) and graduate employability in the higher education (HE) sector in the United Kingdom (UK).

The study draws on a thematic content analysis of semi-structured interviews with 45 professionals in UK HE, representing the “supply” side of EE.

The findings demonstrate a unidirectional link between EE and employability outcomes. This link is affected by societal, stakeholder-related, and teaching and learning-related factors.

Although the value of universities’ initiatives connecting EE and employability for economic development is emphasized, the study does not provide direct empirical evidence for this effect. Macroeconomic research is needed.

EE and employability would benefit from knowledge exchange between universities’ stakeholders and a broader understanding of what constitutes a valuable graduate outcome.

The study reveals the benefits of EE on a micro level. Participation in EE supports the connection between individual investments in HE and employability.

Based on human capital theory, many policymakers regard EE as a vehicle through which the relationship between investments in HE and career success on a micro level and economic growth on a macro level can be nurtured. Challenging this logic, the study highlights the potential of institutional theory to explain a contextualization of the link between EE and employability on a national level.

With big data (BD), traditional supply chain is shifting to digital supply chain. This study aims to address the issues and challenges in the way toward the implementation of big data analytics (BDA) in sustainable supply chain management (SSCM).

The factors that affect the implementation of BDA in SSCM are identified through a widespread literature review. The PESTEL framework is used for this purpose as it covers all the political, economic, social, technological, environmental and legal factors. These factors are then finalized by means of experts' opinion and analyzed using structural equation modeling (SEM).

A total of 10 factors are finalized with 31 sub-factors, of which sustainable performance, competitive advantage, stakeholders' involvement and capabilities, lean and green practices and improvement in environmental performance are found to be the critical factors for the implementation of BDA in SSCM.

This research has taken up the case of Indian manufacturing industry. It can be diversified to other geographical areas and industry sectors. Further, the quantitative analysis may be undertaken with structured or semi-structured interviews for validation of the proposed model.

This research provides an insight to managers regarding the implementation of BDA in SSCM by identifying and examining the influencing factors. The results may be useful for managers for the implementation of BDA and budget allocation for BDA project.

The result includes green practices and environmental performance as critical factors for the implementation of BDA in SSCM. Thus the research establishes a positive relationship between BDA and sustainable manufacturing that ultimately benefits the environment and society.

This research addresses the challenges in the implementation of BDA in SSCM in Indian manufacturing sector, where such application is at its nascent stage. The use of PESTEL framework for identifying and categorizing the factors makes the study more worthwhile, as it covers full spectrum of the various factors that affect the strategic business decisions.